Zero-Shot Reinforcement Learning via Function Encoders
Fuente:
arXiv
Saved in:
| Main Authors: | Ingebrand, Tyler, Zhang, Amy, Topcu, Ufuk |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Adaptive Shielding for Safe Reinforcement Learning under Hidden-Parameter Dynamics Shifts
by: Kwon, Minjae, et al.
Published: (2025)
by: Kwon, Minjae, et al.
Published: (2025)
Function Encoders: A Principled Approach to Transfer Learning in Hilbert Spaces
by: Ingebrand, Tyler, et al.
Published: (2025)
by: Ingebrand, Tyler, et al.
Published: (2025)
Zero-Shot Function Encoder-Based Differentiable Predictive Control
by: Iqbal, Hassan, et al.
Published: (2025)
by: Iqbal, Hassan, et al.
Published: (2025)
Basis-to-Basis Operator Learning Using Function Encoders
by: Ingebrand, Tyler, et al.
Published: (2024)
by: Ingebrand, Tyler, et al.
Published: (2024)
Zero-Shot Transfer of Neural ODEs
by: Ingebrand, Tyler, et al.
Published: (2024)
by: Ingebrand, Tyler, et al.
Published: (2024)
Unsupervised Zero-Shot Reinforcement Learning via Functional Reward Encodings
by: Frans, Kevin, et al.
Published: (2024)
by: Frans, Kevin, et al.
Published: (2024)
Robust Multi-Agent Reinforcement Learning for Small UAS Separation Assurance under GPS Degradation and Spoofing
by: Zongo, Alex, et al.
Published: (2026)
by: Zongo, Alex, et al.
Published: (2026)
Neural Port-Hamiltonian Differential Algebraic Equations for Compositional Learning of Electrical Networks
by: Neary, Cyrus, et al.
Published: (2024)
by: Neary, Cyrus, et al.
Published: (2024)
On Zero-Shot Reinforcement Learning
by: Jeen, Scott
Published: (2025)
by: Jeen, Scott
Published: (2025)
A Flow Matching Algorithm for Many-Shot Adaptation to Unseen Distributions
by: Ingebrand, Tyler, et al.
Published: (2026)
by: Ingebrand, Tyler, et al.
Published: (2026)
Reduce, Reuse, Recycle: Categories for Compositional Reinforcement Learning
by: Bakirtzis, Georgios, et al.
Published: (2024)
by: Bakirtzis, Georgios, et al.
Published: (2024)
Using Large Language Models to Automate and Expedite Reinforcement Learning with Reward Machine
by: Alsadat, Shayan Meshkat, et al.
Published: (2024)
by: Alsadat, Shayan Meshkat, et al.
Published: (2024)
Efficient Reinforcement Learning for Zero-Shot Coordination in Evolving Games
by: Hui, Bingyu, et al.
Published: (2025)
by: Hui, Bingyu, et al.
Published: (2025)
Provable Zero-Shot Generalization in Offline Reinforcement Learning
by: Wang, Zhiyong, et al.
Published: (2025)
by: Wang, Zhiyong, et al.
Published: (2025)
Zero-Shot Reinforcement Learning Under Partial Observability
by: Jeen, Scott, et al.
Published: (2025)
by: Jeen, Scott, et al.
Published: (2025)
Towards Robust Zero-Shot Reinforcement Learning
by: Zheng, Kexin, et al.
Published: (2025)
by: Zheng, Kexin, et al.
Published: (2025)
DRED: Zero-Shot Transfer in Reinforcement Learning via Data-Regularised Environment Design
by: Garcin, Samuel, et al.
Published: (2024)
by: Garcin, Samuel, et al.
Published: (2024)
VLN-Zero: Rapid Exploration and Cache-Enabled Neurosymbolic Vision-Language Planning for Zero-Shot Transfer in Robot Navigation
by: Bhatt, Neel P., et al.
Published: (2025)
by: Bhatt, Neel P., et al.
Published: (2025)
Zero-Shot Reinforcement Learning from Low Quality Data
by: Jeen, Scott, et al.
Published: (2023)
by: Jeen, Scott, et al.
Published: (2023)
Vision-Language Models are Zero-Shot Reward Models for Reinforcement Learning
by: Rocamonde, Juan, et al.
Published: (2023)
by: Rocamonde, Juan, et al.
Published: (2023)
Inferring Behavior-Specific Context Improves Zero-Shot Generalization in Reinforcement Learning
by: Ndir, Tidiane Camaret, et al.
Published: (2024)
by: Ndir, Tidiane Camaret, et al.
Published: (2024)
Do LLMs Strategically Reveal, Conceal, and Infer Information? A Theoretical and Empirical Analysis in The Chameleon Game
by: Karabag, Mustafa O., et al.
Published: (2025)
by: Karabag, Mustafa O., et al.
Published: (2025)
Reinforcement Learning via Value Gradient Flow
by: Xu, Haoran, et al.
Published: (2026)
by: Xu, Haoran, et al.
Published: (2026)
Maximum Entropy Behavior Exploration for Sim2Real Zero-Shot Reinforcement Learning
by: Hu, Jiajun, et al.
Published: (2026)
by: Hu, Jiajun, et al.
Published: (2026)
Zero-Shot Robustification of Zero-Shot Models
by: Adila, Dyah, et al.
Published: (2023)
by: Adila, Dyah, et al.
Published: (2023)
Zero-Shot Off-Policy Learning
by: Asadulaev, Arip, et al.
Published: (2026)
by: Asadulaev, Arip, et al.
Published: (2026)
JaxWildfire: A GPU-Accelerated Wildfire Simulator for Reinforcement Learning
by: Çakır, Ufuk, et al.
Published: (2025)
by: Çakır, Ufuk, et al.
Published: (2025)
Online Foundation Model Selection in Robotics
by: Li, Po-han, et al.
Published: (2024)
by: Li, Po-han, et al.
Published: (2024)
Graph-R1: Incentivizing the Zero-Shot Graph Learning Capability in LLMs via Explicit Reasoning
by: Wu, Yicong, et al.
Published: (2025)
by: Wu, Yicong, et al.
Published: (2025)
Zero-Sacrifice Persistent-Robustness Adversarial Defense for Pre-Trained Encoders
by: Lei, Zhuxin, et al.
Published: (2026)
by: Lei, Zhuxin, et al.
Published: (2026)
ZeroShotOpt: Towards Zero-Shot Pretrained Models for Efficient Black-Box Optimization
by: Meindl, Jamison, et al.
Published: (2025)
by: Meindl, Jamison, et al.
Published: (2025)
Semantic-Inductive Attribute Selection for Zero-Shot Learning
by: Herrera-Aranda, Juan Jose, et al.
Published: (2025)
by: Herrera-Aranda, Juan Jose, et al.
Published: (2025)
Evolutionary Discovery of Reinforcement Learning Algorithms via Large Language Models
by: Sygkounas, Alkis, et al.
Published: (2026)
by: Sygkounas, Alkis, et al.
Published: (2026)
Mapping representations in Reinforcement Learning via Semantic Alignment for Zero-Shot Stitching
by: Ricciardi, Antonio Pio, et al.
Published: (2025)
by: Ricciardi, Antonio Pio, et al.
Published: (2025)
Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot Generalization
by: Liu, Fei, et al.
Published: (2024)
by: Liu, Fei, et al.
Published: (2024)
Deceptive Exploration in Multi-armed Bandits
by: Vurankaya, I. Arda, et al.
Published: (2025)
by: Vurankaya, I. Arda, et al.
Published: (2025)
CSA: Data-efficient Mapping of Unimodal Features to Multimodal Features
by: Li, Po-han, et al.
Published: (2024)
by: Li, Po-han, et al.
Published: (2024)
MoS-VLA: A Vision-Language-Action Model with One-Shot Skill Adaptation
by: Zhao, Ruihan, et al.
Published: (2025)
by: Zhao, Ruihan, et al.
Published: (2025)
Structure in Deep Reinforcement Learning: A Survey and Open Problems
by: Mohan, Aditya, et al.
Published: (2023)
by: Mohan, Aditya, et al.
Published: (2023)
A Convolution and Attention Based Encoder for Reinforcement Learning under Partial Observability
by: Wang, Wuhao, et al.
Published: (2025)
by: Wang, Wuhao, et al.
Published: (2025)
Similar Items
-
Adaptive Shielding for Safe Reinforcement Learning under Hidden-Parameter Dynamics Shifts
by: Kwon, Minjae, et al.
Published: (2025) -
Function Encoders: A Principled Approach to Transfer Learning in Hilbert Spaces
by: Ingebrand, Tyler, et al.
Published: (2025) -
Zero-Shot Function Encoder-Based Differentiable Predictive Control
by: Iqbal, Hassan, et al.
Published: (2025) -
Basis-to-Basis Operator Learning Using Function Encoders
by: Ingebrand, Tyler, et al.
Published: (2024) -
Zero-Shot Transfer of Neural ODEs
by: Ingebrand, Tyler, et al.
Published: (2024)